Skip to content
Log in
Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

D. Petrova-Antonova

View on Semantic Scholar

5 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Sep 2026

AI-Empowered Urban Digital Twins: Integrating Geospatial and Legal Data for Spatial Planning and Governance

Urban planning increasingly requires accessible ways to connect regulatory frameworks with clear spatial visualisation and machine-assisted guidance. However, the integration of legal and geospatial information into platforms that support decision-making, communication, and participation remains limited. In particular,...

M. Koeva, D. Petrova-Antonova, S. Zlatanova et al. · 0 citations
Open access Sep 2026

Evaluating High-Resolution Geospatial Data for Urban Microclimate Simulations: A Comparative Study Using Official Local and Open Global Datasets in Sofia

Recent advances in digital technologies have enabled the development of urban tools that integrate geospatial data to support the analysis of complex urban systems and climate change. However, the reliability of such tools depends strongly on the availability and integration of high-quality geospatial data. This study...

L. Vitanova, Kunihiko Fujiwara, Ryotaro Karube et al. · 0 citations
Open access Sep 2026

AI-Based Framework for Urban Climate Downscaling: A Case Study of Sofia

With the increasing availability of powerful computational resources and artificial intelligence (AI), a data-driven approach has been gaining attention in atmospheric science, particularly in downscaling/emulating research. For example, Convolutional Neural Networks (CNNs) are used to emulate fine-resolution climate d...

Koki Nakamura, L. Vitanova, Quang-Van Doan et al. · 0 citations
Open access Sep 2026

A Well-Being-Centric Walkable Tourism Platform Using AI Agent

We propose a Well-Being-Centric Walkable Tourism Platform Using AI Agent that fuses heterogeneous urban data—an OSM pedestrian graph, a city-scale microclimate field, and a walkability layer for Sofia, Bulgaria—with an AI agent that converts freetext user requests into a constrained heat-aware routing problem. The pl...

Anna Yokokubo, Yusuke Sasaki, Takeo Hamada et al. · 0 citations
Preprint Aug 2026

Air Quality Station Simulation via LSTM and Attention-Based Modelling

Poor air quality in urban areas is driven by a complex chain of processes and presents a significant public health concern. To better understand and control the mechanisms that determine air quality, cities deploy networks of measurement stations, and launch initiatives for collecting denser data about the concentratio...

Alexander Kostadinov, P. O. Hristov, D. Petrova-Antonova · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.